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https://issues.apache.org/jira/browse/SPARK-1647?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tathagata Das updated SPARK-1647:
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Fix Version/s: (was: 1.1.0)
> Prevent data loss when Streaming driver goes down
> -------------------------------------------------
>
> Key: SPARK-1647
> URL: https://issues.apache.org/jira/browse/SPARK-1647
> Project: Spark
> Issue Type: Bug
> Components: Streaming
> Reporter: Hari Shreedharan
>
> Currently when the driver goes down, any uncheckpointed data is lost from
> within spark. If the system from which messages are pulled can replay
> messages, the data may be available - but for some systems, like Flume this
> is not the case.
> Also, all windowing information is lost for windowing functions.
> We must persist raw data somehow, and be able to replay this data if
> required. We also must persist windowing information with the data itself.
> This will likely require quite a bit of work to complete and probably will
> have to be split into several sub-jiras.
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